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Fundamental

Predictive analytics platform for structured data

Solutions Architect

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeJapan

About the Job

Requirements

  • At least 5 years of experience in technical consulting or customer-facing technical roles such as Solutions Architect, Data Scientist, Sales Engineer, or Machine Learning Engineer.
  • Ability to lead complex technical implementations spanning traditional machine learning and/or generative AI systems, with an understanding of cloud and on-premises architectures.
  • Experience working with enterprise customers, including navigating multi-stakeholder environments and deployment cycles.
  • Strong written and verbal communication skills to convey complex technical concepts to technical and non-technical audiences.
  • Hands-on proficiency in data manipulation using Python, Pandas, and SQL to prototype rapidly and independently analyze customer datasets.
  • Ability to work cross-functionally, manage trade-offs, and balance competing priorities across teams.
  • Ability to own problems end-to-end, learn quickly, and fill knowledge gaps as needed to deliver outcomes.

Responsibilities

  • Lead technical discovery to identify high-feasibility, high-impact use cases where NEXUS demonstrates clear return on investment.
  • Partner with Sales to drive the technical win by scoping and building “Art of the Possible” demos, running competitive benchmarks, and prototyping solutions on customer data.
  • Own customers’ technical strategy, maintain deep relationships with senior stakeholders, and define long-term adoption and expansion strategy.
  • Lead end-to-end delivery projects, coordinating Forward Deployed Engineers and customer teams to resolve technical blockers and align IT, Governance, and Business stakeholders.
  • Design robust solution architectures and integration patterns for production-grade performance in complex enterprise environments, including on-premises, virtual private cloud, and legacy systems.
  • Translate field patterns into engineering tickets for Product and Research to inform the roadmap and model evolution.
  • Codify successful deployment strategies into reusable assets and reference architectures to accelerate the Solutions Architect team.
  • Travel 50% of the time.

About the Company

Fundamental

Predictive analytics platform for structured data

Fundamental offers an enterprise-grade predictive intelligence product called NEXUS, a Large Tabular Model that analyzes structured data from spreadsheets, databases, and CRM systems. It learns patterns directly from raw tabular data, eliminating the need for extensive feature engineering, and combines forecasting, classification, anomaly detection, and scenario simulation in one model. NEXUS is deployed through the AWS dashboard via a strategic partnership and was trained on Amazon SageMaker HyperPod to handle datasets with billions of rows, serving industries like financial services, healthcare, retail, and energy with seven-figure contracts for use cases like demand forecasting, price prediction, and churn analysis. The goal is to turn raw data into actionable insights that improve forecasting accuracy, reduce risk, and optimize business outcomes, setting Fundamental apart by focusing on structured data rather than unstructured text or images.

Company size
51-200
Company stage
Series A
Total funding
$255M
Headquarters
San Francisco, CA
Founded
2024

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