Hyperscience helps you automate your document processes and turn unstructured content into structured actionable data. Find out more! Backed by Bessemer.
About the role
Drive long-term technical account success, deployment health, and post-go-live adoption across enterprise accounts by bridging commercial strategy, structured PMO leadership, and technical execution. Drive End-to-End Technical Delivery: Own technical roadmaps, milestones, and acceptance criteria to ensure enterprise deployments launch on schedule and meet customer business outcomes. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Enterprise Technical Program Experience: 5–8+ years in customer-facing technical roles (e.g., Technical Deployment Lead, TPM, TAM, Solutions Architect) managing complex enterprise SaaS or AI implementations
- Technical Baseline: Solid technical fluency in Python, REST APIs, JSON, cloud environments (AWS/Azure/GCP), and enterprise system integrations, with the ability to troubleshoot complex workflows
- Cross-Functional PMO Leadership: Demonstrated track record of leading cross-functional teams, managing risk and resource trade-offs, and driving internal alignment across Product, Engineering, and Sales
- Account Governance & Workflow Mapping: Proven experience designing governance frameworks (QBRs, steering committees, KPIs) and mapping legacy customer workflows to enterprise software solutions
- Education & Background: Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or equivalent practical technical program management experience
- Domain Expertise: Exposure to IDP, RPA, OCR, machine learning workflows, or enterprise automation platforms (e.g., Appian, Power Automate)
More about this role
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 However, for far too long, organizations have relied on outdated technology and manual processes to handle these processes, driving up costs, slowing down decisions, and frustrating customers.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...
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