Role Description As an AI Forward Deployed Engineer (FDE), you are a hands‑on bridge between SensibleAI capabilities and real‑world customer outcomes. You design, implement, and harden cross‑product AI solutions—spanning SensibleAI Forecast, Studio, and Agents, Genesis Blocks, and the OneStream core platform. You partner with Delivery and Engineering to validate value, improve reliability, and codify reusable patterns that others can adopt. - 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. Qualifications - 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. Requirements - Direct experience with OneStream implementations or building Genesis Blocks / Marketplace content. - Direct experience within a prior Forward Deployed Engineering role. Knowledge, Skills, and Abilities - 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. Travel - Up to 25% travel may be required for discovery, workshops, readouts, and early implementation milestones. Benefits - Excellent Medical Plan - Dental & Vision Insurance - Life Insurance - Short & Long Term Disability - Vacation Time - Paid Holidays - Professional Development - Retirement Plan Company Description OneStream is how today’s Finance teams can go beyond just reporting on the past and Take Finance Further™ by steering the business to the future. It’s the only enterprise finance platform that unifies financial and operational data, embeds AI for better decisions and productivity, and empowers the CFO to become a critical driver of business strategy and execution.

• Own stakeholder relationships across Medbridge’s executive team, working with them to find the problems and AI enabled solutions that can expedite, or remove, the current blockers in the business. • Design, build, and ship AI-powered features across our internal teams, from the user interface to the backend services and AI workflows behind it. • Build full-stack applications using AI-native engineering workflows and tools such as Claude, Cursor, Codex, and OpenAI and Anthropic APIs. • Develop APIs, backend services, and automation pipelines that support intelligent product capabilities and production-ready deployments. • Apply software engineering, DevOps, and MLOps best practices to the testing, deployment, monitoring, evaluation, and optimization of AI solutions. • Partner closely with our Product and Engineering teams to turn ambiguous goals into scalable internal products. • Use AI tooling throughout your workflow (coding, code review, testing, and planning) and help push the team’s adoption forward. • Research emerging AI technologies, LLM implementation patterns, and modern product engineering frameworks, and bring what works back to the team. • Instrument what you ship and use usage data and evidence to decide what to build, fix, or kill next.

• Build and ship Android features using Kotlin. • Create clean mobile flows for insurance, payments, claims, renewals and financial services. • Work with product and design to simplify complex user journeys. • Integrate backend APIs and ensure mobile flows are stable, secure and reliable. • Improve app performance, crash rate, loading states, responsiveness and memory usage. • Use analytics, user behaviour and production issues to improve the product. • Build AI-assisted mobile experiences only where they genuinely improve the user journey.

• Build and ship Android features using Kotlin. • Create clean mobile flows for insurance, payments, claims, renewals and financial services. • Work with product and design to simplify complex user journeys. • Integrate backend APIs and ensure mobile flows are stable, secure and reliable. • Improve app performance, crash rate, loading states, responsiveness and memory usage. • Use analytics, user behaviour and production issues to improve the product. • Build AI-assisted mobile experiences only where they genuinely improve the user journey.