AI Forward Deployed Engineer at OneStream Software

Job description

At OneStream, we're on a mission to empower every Finance organization and professional to exceed their potential. Our global teams span continents, cultures, and time zones, united by a shared purpose as we build the operating system for modern Finance and help organizations move with greater speed, clarity, and confidence. That mission comes to life through our people. Behind every innovation, customer success, and milestone are talented people working together to make a difference. That's why we're looking for people who are bold enough to think big, authentic in how they lead and collaborate, curious about what's possible, and committed to delivering results. Want a closer look before you apply? Explore our Careers site to learn more about our people, culture, and benefits. Summary 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. Primary Duties and 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, including developers, sponsors, and 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. Required Education and Experience 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 datasets. Preferred Education and Experience 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, such as forecasting, LLM apps, or 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 and 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. Supervisory Responsibilities None. Travel Travel Requirement: Up to 25% travel may be required for discovery, workshops, readouts, and early implementation milestones. Work Authorization and Security Clearance Employee must be legally authorized to work in the country of the job position as a precondition of employment. Benefits at OneStream OneStream employees are passionate, hardworking individuals who go above and beyond to keep our customers happy and follow through on our mission statement. They consistently deliver the best and in turn, we make every effort to keep them cared for and happy. A sample of the benefits we provide are: Excellent Medical Plan Dental & Vision Insurance Life Insurance Short & Long Term Disability Vacation Time Paid Holidays Professional Development Retirement Plan #LI-JP1 #LI-Remote Total compensation is based on experience, skills, and location using objective, job-related criteria. Additional variable compensation and benefits may apply. Gross annual base salary $114,000 — $148,000 USD All candidates must be legally authorized to work for any company in the country where this position is located without sponsorship. OneStream Software is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to RecruitingAccommodations@onestreamsoftware.com . OneStream may use the personal information you provide to process your application and contact you, in accordance with applicable privacy laws such as the CCPA and GDPR. For more information about how we handle your personal information, please review OneStream's Privacy Policy . Emails about job opportunities at OneStream are only sent by employees with an @onestreamsoftware.com email address. Reach out to your contact at OneStream if you suspect a phishing scam.

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Must-haves

Want a closer look before you apply? Explore our Careers site to learn more about our people, culture, and benefits. Summary
Primary Duties and 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, including developers, sponsors, and 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.
Required Education and Experience
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 producing insightful data visualizations of complex concepts and datasets.
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.

Nice-to-haves

Experience in Python and/or C#; automation and packaging; familiarity with containerization is a plus.
Preferred Education and Experience

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