Deployment Strategist

Runlayer

. Own customer adoption and growth through deployment and successful release of AI infrastructure .

Posted 10/16/2026full-timeNew York City • New York • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in customer adoption and growth through AI infrastructure deployment, with a strong focus on enterprise account management, technical alignment, and proactive risk management. Capable of translating AI goals into actionable plans while ensuring customer satisfaction and retention.

Highest-signal resume keywords

Customer Success ManagementAI Infrastructure DeploymentTechnical Account ManagementEnterprise Account OwnershipBusiness Review Facilitation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Technical WritingAPI Response AnalysisSSO and SCIM ExplanationCustomer Health ScoringSQL Dashboard Building

Soft Skills

Stakeholder EngagementProactive Problem SolvingEffective Communication

Tools & Technologies

AWSKubernetesTerraformGitHub

Industry Keywords

AIData PlatformSecurityIdentity ManagementTechnical Rollouts

Tech Stack

Tools & technologies

AWSKubernetesSQLTerraform

About the role

Key responsibilities & impact

Own customer adoption and growth through deployment and successful release of AI infrastructure
Take enterprise customers from their first production use case to enterprise-wide deployment
Own a book of enterprise accounts and drive satisfaction, adoption, outcomes, and net dollar retention
Work weekly with customer security, IT, and AI teams to align business leaders and technical stakeholders
Partner with Account Executives on growth and renewals
Partner with Forward Deployed Engineers running technical rollouts
Scale proofs of value into production and widespread adoption
Run stakeholder working cadences and maintain momentum toward customers’ AI goals
Plan and run QBRs, readouts, and enablement sessions from working teams through C-suite leaders
Answer product questions, demonstrate new features, and translate AI goals into plans across MCPs, skills, and agents
Review account health, proactively address risk, triage technical issues, and provide support with resolution context
Own renewal readiness, write renewal plans 90 days in advance, identify expansion opportunities, and coordinate with AEs and FDEs
Relay field learnings to Product and Sales and improve deployment processes

Requirements

What you’ll need

Passion for AI and daily experience building and using agents
5+ years of experience in a customer-facing technical role such as Deployment Strategist, Technical Account Manager, Customer Success Engineer, Solutions Architect, professional services, or technology consulting
Consulting or operating experience connecting products to business goals
Proven ownership of multiple enterprise accounts with shared responsibility for renewals and expansion
Ability to explain SSO and SCIM, MCP servers and AI clients, and access policies to engineers
Ability to read logs and API responses to triage issues
Experience running business reviews and enablement sessions with security, IT, and AI leaders up to the CISO and CTO
Clear technical writing for account plans, handoff notes, and actionable engineering tickets
Active GitHub, side-built software, or AI hobby projects
Experience at an AI or data platform company
Post-sale experience at a security, identity, or developer infrastructure company
Experience supporting self-hosted products on AWS, Kubernetes, or Terraform
Experience building customer health scoring or dashboards in SQL

Benefits

Comp & perks

Competitive salary and equity
Paid vacation
Paid sick leave
Paid parental leave
Professional development budget for conferences, courses, and certifications
Choice of laptop and accessories
Comprehensive health, dental, and vision coverage
Direct customer interaction opportunities