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Fundamental

Predictive analytics platform for structured data

Technical Partnerships Manager

Business Development & PartnershipsConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 8 years of experience in technical partnerships, partner management, business development, or solutions architecture within enterprise software, artificial intelligence and machine learning, data platforms, or cloud infrastructure, including at least 3 years within artificial intelligence.
  • Strong understanding of cloud and data infrastructure ecosystems, including AWS, Google Cloud Platform, Microsoft Azure, Databricks, and Snowflake, and enterprise software distribution through marketplaces and partner channels.
  • Demonstrated ability to build and scale technology partnerships that deliver measurable pipeline, revenue, and adoption outcomes.
  • Technical fluency in application programming interfaces, data architectures, machine learning pipelines, and deployment models.
  • Experience working cross-functionally with product, engineering, sales, and marketing teams to drive partner initiatives.
  • Experience navigating large organizations and identifying key stakeholders to drive desired outcomes.
  • Ability to influence internal and external stakeholders without formal authority.
  • Understanding of deal structures, co-sell mechanics, and win-win partnership frameworks.

Responsibilities

  • Own and manage a segment of strategic technology partnerships with cloud providers, marketplaces, data platforms, system integrators, and infrastructure software vendors.
  • Develop and execute joint go-to-market strategies with partners, including co-sell programs, marketplace listings, and joint solution offerings.
  • Serve as the primary point of contact for partner organizations, engaging partner managers, sales representatives, solutions architects, and engineering teams.
  • Drive partner integrations by translating technical requirements between Fundamental's engineering team and partner technical teams, and ensure projects are executed on time.
  • Identify, evaluate, and prioritize new partnership opportunities based on strategic fit, market demand, and revenue potential.
  • Navigate complex partner ecosystems and internal decision dynamics to secure buy-in, resources, and co-investment from partner organizations.
  • Collaborate with product and engineering teams to shape the integration roadmap based on partner and market feedback.
  • Build and maintain partner business plans with clear milestones, success metrics, and pipeline targets.
  • Represent Fundamental at partner events, industry conferences, and executive briefings.

Desired Qualifications

  • Experience within the artificial intelligence and machine learning foundation model, predictive analytics, or structured data platform space.
  • Background in generative artificial intelligence or cloud go-to-market.
  • Familiarity with enterprise data workflows including extract, transform, load; feature engineering; and machine learning deployment pipelines.
  • Prior experience at or partnering with major cloud or data platform companies.
  • Experience in a high-growth startup environment where partnership programs were built from the ground up.

About the Company

Fundamental

Predictive analytics platform for structured data

Fundamental offers an enterprise-grade predictive intelligence product called NEXUS, a Large Tabular Model that analyzes structured data from spreadsheets, databases, and CRM systems. It learns patterns directly from raw tabular data, eliminating the need for extensive feature engineering, and combines forecasting, classification, anomaly detection, and scenario simulation in one model. NEXUS is deployed through the AWS dashboard via a strategic partnership and was trained on Amazon SageMaker HyperPod to handle datasets with billions of rows, serving industries like financial services, healthcare, retail, and energy with seven-figure contracts for use cases like demand forecasting, price prediction, and churn analysis. The goal is to turn raw data into actionable insights that improve forecasting accuracy, reduce risk, and optimize business outcomes, setting Fundamental apart by focusing on structured data rather than unstructured text or images.

Company size
51-200
Company stage
N/A
Total funding
$255M
Headquarters
San Francisco, CA
Founded
2024

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