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Hyperscience

Enterprise AI platform automating business processes

Senior Technical Program Manager - Data

Program ManagementConfirmed live in the last 24 hours
Full-time$122k - $206.5k /yrRemote

About the Job

Requirements

  • Demonstrate 5–8 years of technical program management experience delivering complex, multi-team data programs in high-growth technology environments.
  • Write SQL queries independently to explore schemas, validate datasets, and investigate anomalies.
  • Have a foundational understanding of modern cloud data architectures, including tools such as Snowflake, dbt, or Fivetran.
  • Use AI-assisted developer utilities such as Claude Code, Cursor, or GitHub Copilot to accelerate analytical workflows and technical problem-solving.
  • Communicate technical trade-offs clearly to executive leaders and software engineers while steering cross-functional alignment.
  • Possess a bachelor's degree in Computer Science, Information Systems, Engineering, or Statistics, or equivalent practical experience.

Responsibilities

  • Lead enterprise data initiatives across product telemetry, platform health metrics, and modern analytics infrastructure from inception through broad organizational adoption and enablement sessions.
  • Coordinate across Engineering, Product, Sales, and Customer Operations to resolve technical dependencies and drive timely delivery without direct reporting lines.
  • Author detailed technical requirements, user stories, and execution roadmaps that translate complex business needs into deliverable milestones.
  • Partner with engineering teams to scale pipeline reliability, improve data event streaming, and establish clear service level agreements.
  • Establish data governance frameworks and unified data definitions, and write requirements for automated anomaly detection.
  • Implement transparent intake processes and milestone tracking, conduct team meetings and regular stakeholder updates, and identify risks early to ensure predictable delivery.

Desired Qualifications

  • Bring practical experience conducting customer discovery, authoring requirement documents, and developing multi-quarter product roadmaps.
  • Have a background in data engineering, analytics engineering, or business intelligence before technical program management.
  • Use Python for exploratory analyses and lightweight automation workflows.
  • Have experience with regulatory compliance, data privacy standards, and enterprise data cataloging programs.
  • Hold professional credentials such as PMP, PMI-ACP, AWS Certified Data Analytics, or Snowflake SnowPro.

About the Company

Hyperscience

Enterprise AI platform automating business processes

HyperScience offers an enterprise AI platform that automates a range of business processes for B2B customers in sectors like insurance, government, and financial services. The system blends human judgment with machine learning and is trained by humans to handle complex tasks with high accuracy, using industry-ready workflows and customizable modules. It learns from human feedback and maintains administrator visibility, delivering faster throughput and lower costs, with real-world results such as 80% faster claims processing and 96% accuracy. The goal is to help enterprises automate and optimize workflows at scale, saving time and money while reducing manual labor.

Company size
201-500
Company stage
Series E
Total funding
$288.9M
Headquarters
New York City, New York
Founded
2014

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