
51 - 200 employees
Founded 2024
đ€ Artificial Intelligence
đą Enterprise
âïž SaaS
Artificial Intelligence âą Enterprise âą SaaS
Fundamental is an enterprise AI company that builds large tabular models (LTMs) such as NEXUS, pre-trained on billions of tables to detect patterns and predict outcomes from structured data. The company offers an enterprise-grade predictive analytics platform that can be deployed with minimal code or integrated deeply with cloud partners like AWS, emphasizing privacy, security, and scalability. Born from academic research and backed by major investors, Fundamental targets large organizations seeking to extract foresight from their databases and deploy predictive models at cloud scale.
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51 - 200 employees
Founded 2024
đ€ Artificial Intelligence
đą Enterprise
âïž SaaS
Artificial Intelligence âą Enterprise âą SaaS
Fundamental is an enterprise AI company that builds large tabular models (LTMs) such as NEXUS, pre-trained on billions of tables to detect patterns and predict outcomes from structured data. The company offers an enterprise-grade predictive analytics platform that can be deployed with minimal code or integrated deeply with cloud partners like AWS, emphasizing privacy, security, and scalability. Born from academic research and backed by major investors, Fundamental targets large organizations seeking to extract foresight from their databases and deploy predictive models at cloud scale.
âą Own how and when the product and engineering organization ships âą Partner with the Senior Product Manager and heads of Engineering, Applied AI, Research, and the FDE team âą Standardize and consolidate tools into as few systems of record as possible âą Own the end-to-end SDLC and Linear, establish deadlines, track capacity, and provide a six-month forward view âą Design automated development workflows incorporating compliance, security, and privacy reviews âą Formalize the FDE-to-Engineering handoff and determine when extensions are productized, deprecated, or integrated into the core model âą Run cross-team operating rhythms across Applied AI, Engineering, and Research âą Coordinate dependencies across San Francisco, Europe, and Israel âą Facilitate API and technical specification alignment, including API signatures, terminology, and system design âą Drive built capabilities across the line to launch âą Establish and run weekly or biweekly operational reviews with engineering leadership âą Collaborate across departments including Marketing and Sales
âą 7+ years in technical program management, engineering management, or a hybrid role at a high-growth software or AI company âą Direct experience with the machine learning or LLM development lifecycle âą Track record of standing up SDLC and tooling at a company in the 50 to 300 person range âą Experience migrating an organisation off tool sprawl onto a coherent stack is a bonus âą Comfort coordinating senior engineers and researchers without managing them âą Director or Principal-level individual contributor profile âą Experience coordinating engineering across multiple time zones, ideally including the US/Europe/Israel triangle or equivalent âą Strong written communication âą Background in enterprise B2B SaaS, especially companies with both a platform motion and a Forward Deployed Engineering or solutions motion, is nice to have âą Experience working alongside an FDE or applied team where customer-built work needs to be productized is nice to have âą Familiarity with model deployment, inference infrastructure, or MLOps at production scale is nice to have
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đ May 28
Technical Program Manager responsible for delivery in games, features, or platform work. Collaborates with teams and reports to the VP of Delivery in the European Union.