--- title: 'AI Deployment Strategist at Fundamental' canonical: 'https://feeny.ai/job/ai-deployment-strategist-fundamental-united-states-313dhjs3mqsh' type: 'job' last_seen: '2026-11-04' --- # AI Deployment Strategist at Fundamental - **Company:** Fundamental - **Location:** United States - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-10-22 - **Last confirmed live:** 2026-11-04 - **Apply:** https://jobs.ashbyhq.com/fundamental/0a275165-dea3-45dd-aa11-92028bf0c32c ## Job description ## About Fundamental Fundamental is an AI company pioneering the future of enterprise decision-making. Fundamental has developed NEXUS, the world's most powerful Large Tabular Model (LTM), purpose-built for the structured records that 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 bridge the gap between research and reality by helping some of the world's largest companies realize the transformational potential of NEXUS. 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 An AI Deployment Strategist owns the outcome of a NEXUS deployment. You sit with the customer, find the decisions where a better prediction changes the P&L, turn them into use cases an engineer can build, define how value will be measured before the first model is trained, and make sure the finished model gets used. You are paired with a Forward Deployed Engineer: they own the build, you own the why, the what, and the what next. This is not an analyst seat and not a sales seat. You will spend most of your week with customers, in their offices, inside their data and inside their organization. Expect to run a discovery workshop with a VP of Operations on Monday, read a backtest with the customer's data science lead on Tuesday, and write the one-page brief that gets the next use case funded by Friday. You will travel more than half the time. We hire for trajectory, not tenure. The people who do well here are hungry, articulate, technically curious, and comfortable being the face of a young company inside a Fortune 100. What will you do - Run discovery with business and data leaders: map decision points to prediction problems, qualify data availability, and prioritize use cases by value and feasibility - Write the use-case brief for every deployment: business question, prediction target, data sources, baseline, success KPI, and owner on the customer side - Define value before the build and sign it off after: translate model lift into dollars, hours, or risk in language the sponsor's CFO accepts - Drive adoption: get the model into the customer's workflow, train the users, track usage, and fix what blocks it - Shape the next use cases: keep a live roadmap per account and hand qualified expansion to the Account Executive with the business case already written - Work hand in hand with your Forward Deployed Engineer: you unblock data access, stakeholders, and priorities so they can build - Carry customer patterns back to Product, Research, and leadership, and turn what worked into playbooks the team reuses - Travel to customer sites 50% or more of the time ## Who you are - 2 to 6 years in a role where you were judged on outcomes with a customer or client: consulting, technical sales, customer-facing data science, product, founding or early-startup operating roles - Technically curious with a working floor: comfortable in a Python or SQL notebook, able to explain what a prediction problem is and read a backtest, and eager to go deeper. You will be tested on this, not asked about it - Articulate and confident: you structure a messy problem on a whiteboard, write a crisp one-pager, and hold a room of senior people - Fast learner with evidence: you have picked up a domain or a technology quickly before and can show what you built or shipped - Hungry and mobile: travel, long customer days, and ambiguity energize you - Humble and team-first: you take the unglamorous task when it moves the account ## Nice to have - Depth in one industry we sell into: energy, financial services, insurance, shipping, retail, or private equity - Prior exposure to applied ML, forecasting, or analytics products - A second language used in business ## Benefits - Competitive base plus equity in a Series A company at a $1.4B valuation - Medical, dental, and vision insurance; company equipment; wellbeing, learning, and home office stipends - A structured eight-week ramp on NEXUS, prediction framing, and value modeling, then your own accounts - A mission-driven culture that values diversity of thought, humility, 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) ## Other roles at Fundamental - [Senior Technical Program Manager](https://feeny.ai/job/senior-technical-program-manager-fundamental-europe-4n52eqfhe8ak) — Europe - [Founding Product Designer](https://feeny.ai/job/founding-product-designer-fundamental-europe-9yty4fn0a82r) — Europe - [Technical Product Manager - Inference](https://feeny.ai/job/technical-product-manager-inference-fundamental-europe-k876tbtmkwgc) — Europe - [Product Manager - Data Science](https://feeny.ai/job/product-manager-data-science-fundamental-united-states-7j88jnr25fyz) — United States - [People Experience Program Manager](https://feeny.ai/job/people-experience-program-manager-fundamental-london-pgpyghcyah5f) — London, United Kingdom - [Evaluations Team Lead](https://feeny.ai/job/evaluations-team-lead-fundamental-europe-1ny9rqh4eead) — Europe - [ML Researcher (remote)](https://feeny.ai/job/ml-researcher-remote-fundamental-europe-qq9ebsvv6jc4) — Europe - [AI Deployment Strategist - Houston](https://feeny.ai/job/ai-deployment-strategist-houston-fundamental-houston-sb02hkfxsw3g) — Houston, TX - [Forward Deployed Data Scientist - Oil & Gas, Houston](https://feeny.ai/job/forward-deployed-data-scientist-oil-gas-houston-fundamental-houston-m4rpv3jwyt9c) — Houston, TX - [MLOps Engineer](https://feeny.ai/job/mlops-engineer-fundamental-europe-wsjqr08qefv8) — Europe