Technical Delivery Partner

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 However, for far too long, organizations have relied on outdated technology and manual processes to handle these processes, driving up costs, slowing down decisions, and frustrating customers.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
Leader in the 2025 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, First Mark, Stripes, and Tiger Global.

The Technical Delivery Partner role is responsible for driving the hands‑on technical success of our global enterprise and government clients. This role involves partnering with our Machine Learning team training and refining high‑performance models, leading software implementation, and acting as a critical liaison between clients, Sales, Product, and Engineering teams.

This is a hybrid role based in Park City, Utah, requiring a minimum of three days per week in the office, and will also have the unique opportunity to work alongside C‑suite team members.

• Model Implementation & Client Success: Lead the end‑to‑end configuration, training, and deployment of customer‑specific AI models utilizing Hyperscience’s native tooling, ensuring implementation plans meet client goals and performance expectations.
• Data Quality & Process Ownership: Independently execute complex data annotation and Quality Assurance (QA) projects, while defining and championing best practices and operational guidelines for the team.
• Technical Expertise & Mentorship: Serve as the primary technical expert, handling complex escalations and troubleshooting, while mentoring junior engineers on technical execution and best practices.
• Cross‑Functional Impact: Act as a critical liaison, translating client needs to technical solutions and providing actionable product feedback and performance insights to internal Product, Design, and Engineering teams.

• Core Professional
  
  Skills:
  
  Strong demonstrated analytical, problem‑solving, and collaboration skills, with excellent verbal and written communication suitable for both technical teams, client audiences and C‑suite.
• Technical Acumen: Proven ability to rapidly learn and master new software platforms and interfaces, coupled with meticulous attention to detail and proficiency in spreadsheet tools (e.g., Excel/G‑Sheets).
• Experience & Scope: 2+ years of experience working in a technical environment with direct client liaison or customer‑facing responsibilities. This experience can be derived from professional roles and/or relevant academic/school projects.

• Educational Background: Bachelor’s Degree, Master’s Degree, or extended education in Computer Science, Software Engineering, Data Science, Information Technology (IT), or a closely related technical discipline that demonstrates strong…