---
title: 'Senior Technical Program Manager at Fundamental'
canonical: 'https://feeny.ai/job/senior-technical-program-manager-fundamental-europe-4n52eqfhe8ak'
type: 'job'
last_seen: '2026-11-04'
---

# Senior Technical Program Manager at Fundamental

- **Company:** Fundamental
- **Location:** Europe
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-11-04
- **Last confirmed live:** 2026-11-04
- **Apply:** https://jobs.ashbyhq.com/fundamental/4026d498-640b-43c8-a1b1-c6bf5100290d

## Job description

## About the Role

As Fundamental's first Senior Technical Program Manager, you will own the "how" and "when" of everything the product and engineering organization ships. You'll partner directly with our Senior Product Manager (the "what" and "why"), the heads of Engineering, Applied AI, and Research, and the FDE team in the field. You will be the connective tissue between three highly capable teams that today coordinate through goodwill and Slack, and need a system. This is a hands-on role. You will not be managing a team of TPMs, we want someone that enjoys being in the weeds: standardising tools, ordering bugs, running the SDLC, and giving leadership an honest read on what is and isn't getting done.

## What You'll Own

- Toolset standardization. You will consolidate tools to as few systems of record as possible, with a single source of truth for SDLC. Day-one priority.
- SDLC end-to-end. Own Linear, partner to set real deadlines, hold the line on them, and give leadership an accurate six-month forward view of capacity across Applied AI, Engineering and Research. Design automated development workflows that can keep pace with AI-accelerated engineering, ensuring that compliance, security, and privacy reviews are inherently baked into the system.
- The FDE-to-Engineering handoff. Formalise the path that pulls FDE-built extensions into the core platform. Determine when extensions get productised, when they get deprecated, and when functionality folds into the core model.
- Cross-team coordination. Run the operating rhythm that connects Applied AI, Engineering, and Research. Kill the downtime on blocked dependencies across SF, Europe, and Israel.
- API & Technical Specification Alignment. Act as the facilitator for cross-team technical definitions. Prevent delivery bottlenecks by ensuring early agreement on API signatures, terminologies, and system design before Engineering is asked to build.
- Delivery accountability. When a capability is built but stuck before launch, you are the person who gets it across the line.
- Operational reviews. Establish and run a weekly or biweekly review with engineering leadership that surfaces what's on track, what's blocked, and what needs an executive decision.
- Collaboration. Work across departments (Marketing, Sales, etc.) for collaboration, communication and coordination.

## What We're Looking For

- 7+ years in technical program management, engineering management, or a hybrid role at a high-growth software or AI company. Most of your time has been in environments where engineering moved faster than process.
- Direct experience with the machine learning or LLM development lifecycle. You don't have to be a researcher, but you should be fluent enough to push back on engineering estimates intelligently.
- Track record of standing up SDLC and tooling at a company in the 50 to 300 person range. Bonus if you've migrated an organisation off tool sprawl onto a coherent stack.
- Comfort with ambiguity and authority. You will be coordinating senior engineers and researchers without managing them. Influence is the only lever.
- A Swiss Army Knife Operator. You are a Director or Principal-level IC who loves being in the weeds. You build systems that accelerate delivery without introducing heavy corporate bureaucracy. You influence through competence and execution, not through headcount.
- Experience coordinating engineering across multiple time zones, ideally including the US/Europe/Israel triangle or equivalent.
- A bias for shipping. You measure your own work in what got delivered, not in what got tracked.
- Strong written communication. A lot of cross-team alignment at Fundamental will happen in documents and async updates.

## Nice to Have

- Background in enterprise B2B SaaS, especially companies with both a platform motion and a Forward Deployed Engineering or solutions motion (Palantir, Databricks, Snowflake, Scale, Sierra, and similar).
- Experience working alongside an FDE or applied team where customer-built work needs to be productized.
- Familiarity with model deployment, inference infrastructure, or MLOps at production scale.

## 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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