Technical Deployment Lead

The role

The Technical Deployment Lead drives technical account success, deployment health, and post-go-live adoption for enterprise accounts. This role bridges commercial strategy, PMO leadership, and technical execution to ensure successful deployments.

What you will do

• Own technical roadmaps, milestones, and acceptance criteria for enterprise deployments.
• Navigate Product, Core Engineering, Delivery, and Support teams to eliminate technical blockers.
• Map legacy workflows to platform capabilities and track deployment KPIs.
• Partner with Account Executives to scope new enterprise use cases and technical proposals.
• Establish deployment scorecards and lead executive steering committees.
• Establish reusable deployment playbooks, PMO templates, and integration patterns.
• Translate customer friction points into prioritized product and engineering requirements.

Required qualifications

• 5–8+ years in customer-facing technical roles managing complex enterprise SaaS or AI implementations.
• Solid technical fluency in Python, REST APIs, JSON, cloud environments (AWS/Azure/GCP), and enterprise system integrations.
• Ability to troubleshoot complex workflows.
• Demonstrated track record of leading cross-functional teams, managing risk and resource trade-offs, and driving internal alignment.
• Proven experience designing governance frameworks and mapping legacy customer workflows to enterprise software solutions.
• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or equivalent practical technical program management experience.

Nice to have

• Exposure to IDP, RPA, OCR, machine learning workflows, or enterprise automation platforms (e.g., Appian, Power Automate).
• Experience partnering with Account Executives to scope technical expansion opportunities and build scalable pre-sales architectures.
• Active PMP, PMI-ACP, or Agile/Scrum certification.

About the company

Hyperscience is a leader in Intelligent Document Processing Solutions with an AI platform that reads, understands, and processes documents at scale. The Hypercell platform automates end-to-end processes and transforms complex documents into LLM and RAG-ready data.