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Fundamental

Predictive analytics platform for structured data

People Experience Program Manager

HR Operations & CoordinationConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • At least 4 years of experience in People Operations, Talent, Recruiting, or Program Management, ideally in a fast-paced technology environment.
  • Hands-on experience configuring and managing people workflows, data, and reporting.
  • Experience supporting international team members or candidates and developing processes that optimize their experience.
  • A track record of simplifying or rebuilding inefficient operational processes.
  • Comfort analyzing team data to inform everyday decisions.
  • Strong written communication across documents, Slack, and written guides.
  • High discretion and sound judgment when handling confidential information.
  • Ability to work independently and thrive in a distributed team environment.

Responsibilities

  • Guide new team members through onboarding from contract signing through their first months, ensuring they feel welcomed and supported.
  • Coordinate support for career and life milestones, including promotions, parental leave, relocations, and transitions, with local partners.
  • Maintain the People Operations technology stack, keep role and employee information accurate and clear, and align integrations across systems.
  • Enhance and champion benefits offerings, making them easy to understand and access across regions.
  • Serve as a point of contact for employee questions and turn common inquiries into clearer documentation and simpler processes.
  • Streamline repetitive tasks using automation and AI tools to create more time for personal employee support.
  • Create self-service guides and clear written communication that support an inclusive asynchronous workplace across time zones.
  • Gather employee feedback throughout the onboarding and lifecycle journey and use it to improve the team experience.
  • Collaborate with the Talent team to create a cohesive transition from candidate experience to first-day onboarding.
  • Support performance development, engagement initiatives, and shared activities that nurture the distributed culture.
  • Help ensure a safe, fair, and compliant environment across regions, handling sensitive matters with care and sound judgment.

Desired Qualifications

  • Experience in a rapidly growing company.
  • Experience setting up automations using AI, no-code, or scripting tools, with an example of something built.
  • Personal experience working on a remote-first team and ideas for helping new joiners succeed asynchronously.
  • Experience with benefits design or renewals across multiple regions.
  • Experience partnering with recruiting or using tools such as Ashby.
  • Experience supporting broader people initiatives such as performance reviews, engagement surveys, or manager development.

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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