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Jaroměř, Česko
Remote only
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 However, for far too long, organizations have relied on outdated technology and manual processes to handle these processes, driving up costs, slowing down decisions, and frustrating customers.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.
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.
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.
Technical Program Experience: Demonstrate 5 -8 years of technical program management experience successfully delivering complex, multi-team data programs in high-growth technology environments.
Hands-On Data Literacy: Write proficient SQL queries independently to explore schemas, validate datasets, and investigate anomalies without waiting on engineering support.
Modern Data Stack Knowledge: Apply foundational understanding of modern cloud data architectures, including tools like Snowflake, dbt, or Fivetran.
AI Tool Fluency: Utilize AI-assisted developer utilities, such as Claude Code, Cursor, or GitHub Copilot, to accelerate analytical workflows and technical problem-solving.
Stakeholder Management: Communicate technical trade-offs clearly to both executive leaders and software engineers while steering cross-functional alignment.
Educational Foundation: Possess a Bachelor’s degree in Computer Science, Information Systems, Engineering, Statistics, or equivalent practical experience.
Product Management Exposure: Bring practical experience conducting customer discovery, authoring requirement documents, and developing multi-quarter product roadmaps.
Data Engineering Background: Leverage past experience in data engineering, analytics engineering, or business intelligence prior to technical program management.
Python Proficiency: Ability to conduct exploratory analyses and lightweight automation workflows using Python.
Governance Expertise: Navigate regulatory compliance, data privacy standards, and enterprise data cataloging programs.
Industry Certifications: Hold recognized professional credentials such as PMP, PMI-ACP, AWS Certified Data Analytics, or Snowflake SnowPro.
Hyperscience is a people-first company, committed to empowering our team to make a tangible impact. Our core values, including "Innovation that Transforms," "Lead with Trust," and a "Win Together" ethos, guide our collaborative culture. As a global organization, our benefits vary by region, but we are united by a fundamental belief in work-life flexibility. We support our team with flexible PTO and work-from-home options, recognizing the importance of a healthy balance between professional and personal life.
Health & Wellness: Company-covered Healthcare Coverage plans for you and your family, including HSA, PPO, Vision, Dental and Mental Health Wellness plans.
Retirement & Financial: 401(k) through Empower with company match up to 6% of your annual salary.
Paid Time Off (PTO): Flexible-use PTO, unaccrued and uncapped, subject to manager approval.
Parental Leave: 12 weeks of paid parental leave, with an additional 4 weeks paid for birthing parents.
Equity: Opportunity to own Stock Options in the company.
[US Applicants] We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
[EU Applicants] All job applications will be treated and processed with strict confidentiality and in full compliance with the GDPR provisions. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
AI Transparency Notice We use AI tools to assist our team in screening resumes for job-related skills and qualifications, though a human recruiter ultimately reviews all applications before any hiring decisions are made. In accordance with North American, United Kingdom, and European Union (GDPR) regulations,, you have the right to request a manual review of your application or a reasonable accommodation if you prefer an alternative to automated screening. For more details on the logic used or to exercise these rights, please contact recruiting@hyperscience.ai.
Beware of recruitment fraud; all official Hyperscience communication is sent exclusively from the @hyperscience.ai domain and we never extend offers without multiple live interviews. Personal information is only requested through our secure application process or via verified background check partners during onboarding.
