AI Deployment Strategist

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 Artificial Intelligence

🚫👨‍🎓 No degree required

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Fundamental

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2024

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Fundamental is an enterprise AI company that builds large tabular models (LTMs) such as NEXUS, pre-trained on billions of tables to detect patterns and predict outcomes from structured data. The company offers an enterprise-grade predictive analytics platform that can be deployed with minimal code or integrated deeply with cloud partners like AWS, emphasizing privacy, security, and scalability. Born from academic research and backed by major investors, Fundamental targets large organizations seeking to extract foresight from their databases and deploy predictive models at cloud scale.

📋 Description

• 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, including the business question, prediction target, data sources, baseline, success KPI, and customer-side owner • Define value before the build and sign it off after • Translate model lift into dollars, hours, or risk in language accepted by the sponsor's CFO • Drive adoption by getting the model into the customer's workflow, training users, tracking usage, and fixing blockers • Shape next use cases by maintaining a live roadmap per account • Hand qualified expansion to the Account Executive with the business case written • Work with the Forward Deployed Engineer to unblock data access, stakeholders, and priorities • Carry customer patterns back to Product, Research, and leadership • Turn successful approaches into reusable team playbooks • Travel to customer sites 50% or more of the time

🎯 Requirements

• 2 to 6 years in a role where you were judged on outcomes with a customer or client, including consulting, technical sales, customer-facing data science, product, founding, or early-startup operating roles • Comfortable in a Python or SQL notebook • Able to explain what a prediction problem is and read a backtest • Willingness to be tested on technical curiosity and knowledge • Ability to structure a messy problem on a whiteboard • Ability to write a crisp one-pager • Ability to hold a room of senior people • Evidence of quickly picking up a domain or technology and building or shipping something • Willingness to travel, work long customer days, and operate amid ambiguity • Ability to work humbly and in a team-first manner • Nice to have: depth in energy, financial services, insurance, shipping, retail, or private equity • Nice to have: prior exposure to applied ML, forecasting, or analytics products • Nice to have: a second language used in business • Must be authorized to work in the United States • Willingness to travel to customer sites about 50% of the time

🏖️ Benefits

• Competitive base plus equity in a Series A company at a $1.4B valuation • Medical, dental, and vision insurance • Company equipment • Wellbeing stipend • Learning stipend • Home office stipend • Structured eight-week ramp on NEXUS, prediction framing, and value modeling • Mission-driven culture that values diversity of thought, humility, and bias toward action