---
title: 'Solutions Architect at Fundamental'
canonical: 'https://feeny.ai/job/solutions-architect-fundamental-japan-j936hdcy011n'
type: 'job'
last_seen: '2026-09-09'
---

# Solutions Architect at Fundamental

- **Company:** Fundamental
- **Location:** Japan
- **Employment:** full-time
- **Posted:** 2026-05-29
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/fundamental/f9d1e809-a71d-404c-9d28-01b91916afe2

## Job description

## ABOUT FUNDAMENTAL

Fundamental is an AI company pioneering the future of enterprise decision-making. Founded by DeepMind alumni, Fundamental has developed NEXUS – the world's most powerful Large Tabular Model (LTM) – purpose-built for the structured records that actually drive enterprise decisions. Backed by world class investors and trusted by Fortune 100 companies, Fundamental unlocks trillions of dollars of value by giving businesses the Power to Predict.

At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI.

## ABOUT THE ROLE

The Solutions Architect role sits at the intersection of our customers, engineering, enterprise deployment, and product, working directly with some of the world’s most data-rich organizations to bring predictive applications into production using our tabular foundation model. In this role, you will guide customers from early discovery and evaluation through deployment and scale. You’ll work with senior business and technical leaders to identify high-value use cases, design robust architectures, and ensure deployments deliver measurable business impact.

This is a hands-on role combining solution design, data science & machine learning, and production engineering, ideal for someone who enjoys owning a customer's technical success end-to-end and building real systems that perform in complex enterprise environments.

## KEY 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

## MUST HAVE

- 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

## BENEFITS

- Competitive compensation with salary and equity
- Comprehensive health coverage for you and your dependents
- Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys
- Relocation support for employees moving to join the team in one of our office locations
- A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action

## About Fundamental

## Company Overview
- **One-liner**: Fundamental builds foundation models purpose‑designed for tabular data, enabling enterprises and governments to make accurate predictions and confident decisions.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2024
- **Founders**: Jeremy Fraenkel (CEO), Gabriel Suissa (Co‑Founder); built by DeepMind alumni

## Core Business
- Primary industry: Artificial intelligence / Enterprise AI (Large Tabular Models)
- Target customers: Large enterprises and government agencies (Fortune 100 clients)
- Mission: “To create a world of abundance by giving humanity the Power to Predict.”

## Products & Services
- **[NEXUS – Large Tabular Model (LTM)]**: A deterministic foundation model pre‑trained on billions of tables to ingest structured data (rows/columns) and capture complex, non‑linear feature interactions. Deployable with one line of code, integrates deeply with AWS, and designed for enterprise‑grade privacy and security. Unlike LLMs, NEXUS can reason over extremely large datasets (billions of rows) and provides consistent answers every time.

## Market Standing
- **Valuation/Market Cap**: $1.4 billion post‑money (as of February 2026)
- **Key Metric**: Total funding raised – $255 million (Series A: $225M led by Oak HC/FT, Valor Equity Partners, Battery Ventures, Salesforce Ventures; Angel round: $30M from investors including Perplexity CEO Aravind Srinivas, Brex co‑founder Henrique Dubugras, Datadog CEO Olivier Pomel)
- **Notable Investors/Partners**: Oak HC/FT, Valor Equity Partners, Battery Ventures, Salesforce Ventures, Hetz Ventures; strategic partnership with Amazon Web Services (AWS)
- **Growth Signals**: Emerged from stealth in February 2026 with seven‑figure contracts from Fortune 100 clients; headcount grew from founding to 46 employees with +28% monthly growth; operates globally (San Francisco, Barcelona, Israel, UK, etc.)

## Competitive Advantages
- **Deterministic & scalable**: Unlike transformer‑based LLMs, NEXUS is deterministic and can analyze tables with billions of rows without context‑window limitations.
- **Purpose‑built for tabular data**: Captures non‑linear feature interactions that LLMs miss, unlocking trillions of dollars in value from structured data.
- **Research‑led with academic rigor**: Team includes DeepMind alumni; model built on a non‑transformer architecture designed specifically for real‑world tabular data.
- **One model, many use cases**: Replaces armies of data scientists with a single foundation model that works across industries (finance, healthcare, energy, etc.).

## Strategic Focus
- **Expansion**: Deepening the AWS integration and scaling NEXUS across more Fortune 500/global government clients.
- **Talent acquisition**: Hiring across research (Barcelona), engineering (Europe, SF), and commercial roles (SF, Houston) to accelerate model development and go‑to‑market.
- **Category creation**: Pioneering the “Large Tabular Model” (LTM) category to differentiate from LLM companies and establish leadership in predictive AI for structured data.

## Why Work Here
- **Solve hard problems**: Work on groundbreaking research and engineering for a new modality of AI (tabular data) that most labs ignore.
- **Exceptional team**: Collaborate with DeepMind alumni and top researchers from Cohere, AI21 Labs, Google DeepMind, Mistral AI, and others.
- **Global and flexible**: Hubs in San Francisco (HQ), Barcelona (research), and remote‑friendly roles across Europe and the US.
- **Rapid growth**: Joining a well‑funded, high‑valuation startup at Series A stage with real revenue and Fortune 100 customers—clear trajectory.
- **Mission‑driven**: “Power to Predict” aims to transform decision‑making in enterprises and governments, offering tangible societal impact.
- **Culture**: Described as rigorous, ambitious, and supportive of deep research and patient engineering.

## Sources
1. [fundamental.tech](https://fundamental.tech/)
2. [fundamental.tech/company](https://fundamental.tech/company)
3. [fundamental.tech/careers](https://fundamental.tech/careers)
4. [TechCrunch - Funding announcement](https://techcrunch.com/2026/02/05/fundamental-raises-255-million-series-a-with-a-new-take-on-big-data-analysis/)
5. [LinkedIn Company Page](https://www.linkedin.com/company/fundamentalhq)

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