Technical Deployment Lead

Hyperscience

. Own technical roadmaps, milestones, and acceptance criteria for enterprise deployments .

Posted 10/26/2026full-timeRemote • United StatesSenior💰 $90,500 - $153,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing complex enterprise SaaS and AI implementations, with a strong focus on technical roadmaps, deployment strategies, and cross-functional team leadership. Proficient in translating customer needs into actionable engineering requirements while ensuring operational efficiency and measurable outcomes.

Highest-signal resume keywords

Enterprise SaaS ImplementationTechnical Roadmap ManagementCross-Functional Team LeadershipDeployment KPI TrackingGovernance Framework Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonREST APIsJSONAWSAzureGCPEnterprise System IntegrationMapping Legacy WorkflowsTechnical Proposal DevelopmentRisk Management

Soft Skills

Customer-Facing CommunicationStakeholder EngagementProblem SolvingCollaborationLeadership

Tools & Technologies

IDPRPAOCRMachine Learning WorkflowsEnterprise Automation Platforms

Certifications & Qualifications

PMPPMI-ACPAgile CertificationScrum Certification

Industry Keywords

Technical Business ReviewsDeployment ScorecardsExecutive Steering CommitteesCustomer Business OutcomesOperational Efficiency

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPMPPythonRPA

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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