Requirements
- 4+ years of experience in software engineering, AI engineering, data engineering, or related technical roles.
- At least 2 years of hands-on experience building AI or Machine Learning applications.
- Strong proficiency in Python and SQL.
- Experience working with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar.
- Experience with vector databases and Retrieval-Augmented Generation (RAG) architectures.
- Strong prompt engineering and AI workflow design experience.
- Proven experience working with Corporate Finance, FP&A, Accounting, Revenue Operations, or similar business functions.
- Deep understanding of SaaS financial metrics including ARR, NRR, deferred revenue, budgeting, forecasting, and incentive compensation.
- Knowledge of GAAP principles and three-statement financial modeling.
- Experience integrating enterprise planning platforms such as: Workday Adaptive Planning, CaptivateIQ, Anaplan.
- Ability to communicate technical concepts effectively to executive and non-technical stakeholders.
- Strong analytical thinking and problem-solving skills.
- Experience working in remote and cross-functional teams.
- Advanced English level is required for written and verbal communication.
- At least 4 years of professional experience building and deploying AI, ML, or software solutions in production environments.
Nice to Have
- Experience within B2B SaaS or technology companies.
- Experience with NetSuite, Workday Financials, or other ERP platforms.
- Experience with Snowflake, BigQuery, dbt, or modern cloud data platforms.
- Background as a consultant, solutions architect, or independent contractor.
- Experience designing AI-powered automation for finance organizations.
Additional Information
- Advanced English level is required for written and verbal communication.
