About our Company

At Hyperscience, we believe that behind every document is a meaningful human experience, whether that’s a family applying for their mortgage, a patient waiting for insurance coverage, or a student waiting for their visa to study abroad. However, for far too long, organizations have relied on outdated technology and manual processes to handle these processes, driving up costs, slowing down decisions, and frustrating customers.

As a distinguished leader in its market category, including a back to back Leader in the 2025 & 2026 Gartner Magic Quadrant for Intelligent Document Processing Solutions and several other leading industry analyst reports, our technology flips the script with an AI platform that reads, understands, and processes documents at massive scale—automatically.

The Hyperscience Hypercell platform unlocks the value of an organization’s back office data through the automation of end-to-end processes, and transforms complex documents into LLM and RAG-ready data to power new enterprise GenAI experiences. This enables organizations to transform manual, siloed processes into a strategic advantage, resulting in a faster path to decisions, actions, and revenue; positive and engaging customer, public, and patient experiences; and dramatic increases in productivity.

Leading organizations including American Express, Charles Schwab, HM Revenue and Customs, Mars, Stryker, The United States Social Security Administration, The United States Department of Veterans Affairs, and several others use the Hypercell platform to achieve a faster path to decisions, dramatic increases in productivity, and unparalleled business impact.

Hyperscience is funded by top tier investors including Bessemer Venture Partners, Battery, FirstMark, Stripes, and Tiger Global.

About the Role

At Hyperscience, we transform how enterprise organizations work by applying AI and automation to mission-critical document processes. Reliable, high-granularity customer data is essential to delivering value to our customers and driving informed strategic decisions across our product, engineering, and go-to-market teams.

As a Senior Technical Program Manager for Data, you will serve as the operational and strategic anchor for our Data Foundations initiatives. In this role, you will combine technical program management rigor with product discovery practices, dedicating approximately 60–70% of your focus to cross-functional program execution and 30 - 40% to product scoping and customer use-case analysis. You will lead cross-team execution without direct authority, operationalize platform health assessments, and shape product telemetry into trusted insights with a clear path to building data-first capabilities directly into the Hyperscience platform.

Key Responsibilities

End-to-End Program Ownership: Lead enterprise data initiatives across product telemetry, platform health metrics, and modern analytics infrastructure from inception through broad organizational adoption and enablement sessions.

Cross-Functional Alignment: Coordinate across Engineering, Product, Sales, and Customer Operations to resolve technical dependencies and drive timely delivery without direct reporting lines.

Product & Technical Scoping: Author detailed technical requirements, user stories, and execution roadmaps that translate complex business needs into deliverable milestones.

Data Architecture & Reliability: Partner with engineering teams to scale pipeline reliability, improve data event streaming, and establish clear service level agreements.

Governance & Standardization: Establish reliable data governance frameworks, unified data definitions, and write requirements for automated anomaly detection.

Delivery Operations: Implement transparent intake processes and milestone tracking, conduct team meetings and regular stakeholder updates to identify risks early and ensure predictable delivery.

Required Qualifications

Technical Program Experience: Demonstrate 5 -8 years of technical program management experience successfully delivering complex, multi-team data programs in high-growth technology environments.