Technical Deployment Lead

Job not on LinkedIn

🔥 3 minutes ago

🇺🇸 United States – Remote

💵 $90.5k - $153k / year

⏰ Full Time

🟠 Senior

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Logo of Hyperscience

Hyperscience

201 - 500 employees

Founded 2014

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $100M Series E - Hyperscience on 2021-12

Consulting • Healthcare • Logistics

Hyperscience is an enterprise AI software company that provides the Hypercell platform for intelligent document processing and automation. Built on machine learning and generative AI, it reads, understands, labels, and structures unstructured documents at scale to automate workflows, improve accuracy, and generate trusted data to train and fine-tune LLMs. Hyperscience serves large organizations across financial services, healthcare, logistics, and public sector agencies and emphasizes security and compliance (FedRAMP High).

📋 Description

• Own technical roadmaps, milestones, and acceptance criteria for enterprise deployments • Ensure deployments launch on schedule and meet customer business outcomes • Coordinate Product, Core Engineering, Delivery, and Support teams • Eliminate technical blockers and manage resource sequencing across account lifecycles • Map legacy workflows to platform capabilities • Track deployment KPIs to drive sustained usage, operational efficiency, and demonstrable ROI • Partner with Account Executives to scope new enterprise use cases, volume growth, and technical proposals • Establish deployment scorecards and lead executive steering committees • Run technical business reviews with customer IT and business leadership • Create reusable deployment playbooks, PMO templates, and integration patterns • Translate customer friction points into prioritized product and engineering requirements

🎯 Requirements

• 5–8+ years in customer-facing technical roles managing complex enterprise SaaS or AI implementations • Technical fluency in Python, REST APIs, JSON, cloud environments (AWS/Azure/GCP), and enterprise system integrations • Experience leading cross-functional teams, managing risk and resource trade-offs, and driving alignment across Product, Engineering, and Sales • Experience designing governance frameworks, including QBRs, steering committees, and KPIs • Experience 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 • Exposure to IDP, RPA, OCR, machine learning workflows, or enterprise automation platforms • Experience partnering with Account Executives on technical expansion opportunities and pre-sales architectures • Active PMP, PMI-ACP, or Agile/Scrum certification is a bonus qualification • Must be legally authorized to work in the country/location where the role is located • Must indicate whether company sponsorship for employment authorization will be required

🏖️ Benefits

• Equity ownership for every full-time employee • Bonus opportunities • Comprehensive benefits and perks • Competitive base salary

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