Full-Time

Solutions Architect

Fundamental

Fundamental

51-200 employees

Predictive analytics platform for structured data

No salary listed

San Francisco, CA, USA

Hybrid

Travel 50% of the time.

Category
Sales & Solution Engineering
Required Skills
Python
SQL
Machine Learning
Pandas

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Requirements
  • 5+ years of experience in technical consulting or customer-facing technical roles (e.g. Solutions Architect, Data Scientist, Sales Engineer, ML engineer)
  • Proven ability to lead complex technical implementations, spanning traditional machine learning and/or modern Generative AI systems, with an understanding of cloud and on-prem architectures
  • Strong 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 both technical and non-technical audiences
  • Hands-on technical proficiency with a focus on data manipulation (Python, Pandas, SQL) to execute rapid prototyping and analyze customer datasets independently
  • A collaborative mindset - excited to work cross-functionally, manage trade-offs and balance competing priorities across teams
  • Demonstrated ability to own problems end-to-end, learn quickly, and fill in knowledge gaps as needed to deliver outcomes
  • Humble, team-oriented attitude with a bias toward action and doing what’s necessary to help the broader team win
Responsibilities
  • Lead technical discovery to pinpoint high-feasibility, high-impact use cases where NEXUS demonstrates clear ROI
  • 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 the technical strategy for customers, maintaining deep relationships with senior stakeholders and defining the long-term strategy for adoption and expansion
  • Lead the end-to-end delivery project, coordinating Forward Deployed Engineers and customer teams to resolve technical blockers and drive alignment across IT, Governance, and Business stakeholders
  • Design robust solution architectures and integration patterns that ensure production-grade performance in complex enterprise environments (On-prem, VPC, Legacy systems)
  • Translate patterns from the field into high-signal engineering tickets for Product and Research to inform the roadmap and model evolution
  • Codify winning deployment strategies into reusable assets and reference architectures to accelerate the entire Solutions Architect team.
  • Travel 50% of the time

Fundamental builds NEXUS, a Large Tabular Model designed to analyze structured data from spreadsheets, databases, and CRM systems. It ingests raw tabular data and automatically learns patterns, enabling forecasting, classification, anomaly detection, and scenario simulation in one foundation model. The product is deployed through the AWS dashboard via a strategic partnership and trained on Amazon SageMaker HyperPod to handle datasets with billions of rows, with customers including Fortune 100 firms across financial services, healthcare, retail, and energy. The goal is to help enterprises turn raw data into actionable insights to improve forecasting accuracy, reduce risk, and optimize business outcomes, 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, California

Founded

2024

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Simplify Jobs

Simplify's Take

What believers are saying

  • NEXUS reduces data preparation time from months to days via autonomous cleaning.
  • Fundamental secured seven-figure contracts with Fortune 100 companies before public launch.
  • Single-line code integration on Amazon SageMaker enables fast deployment into existing AWS stacks.

What critics are saying

  • AWS will bundle a native SageMaker Tabular Foundation model in Q4 2026 at zero inference cost.
  • Google Cloud AutoML Tables 2.0 in August 2026 will undercut pricing for Fortune 100 contracts.
  • Palantir's Aporia module launching Q3 2026 will directly encroach on tabular forecasting use cases.

What makes Fundamental unique

  • NEXUS is a Large Tabular Model trained on billions of tabular datasets, not text.
  • It delivers deterministic, reproducible predictions unlike stochastic LLMs for compliance-heavy industries.
  • NEXUS processes tables with billions of rows natively without chunking or context loss.

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Benefits

Health Insurance

Parental Leave

Relocation Assistance

Company Equity

Growth & Insights

Headcount

6 month growth

-11%

1 year growth

-11%

2 year growth

-11%