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Runlayer is a platform for managing AI Agents, MCPs (Model Context Protocols), and Skills with enterprise-grade security, governance, and observability. The company recently raised $30M Series A (Felicis-led) and is trusted by Gusto, Instacart, Opendoor, dbt Labs, and Decagon.
As a Deployment Strategist, you will own customer adoption and growth by managing the deployment and successful release of AI infrastructure for enterprise accounts. You'll take customers from proof-of-value to enterprise-wide deployment, owning a book of enterprise accounts and measured on net dollar retention.
Key responsibilities:
- Scale proof-of-value into production: Own the path from initial deployment to widespread adoption while Forward Deployed Engineers handle technical rollout
- Unite stakeholders: Run working cadences with customer security, IT, infrastructure, and AI teams; connect business and technical leaders
- Lead at executive level: Plan and run QBRs, readouts, and enablement sessions with AEs, translating deployment progress for CISOs, CTOs, and AI transformation leaders
- Know the product deeply: Answer customer questions, walk through features, and translate AI goals into concrete deployment plans
- Own account health: Monitor accounts consistently, triage technical issues, and act on risk proactively
- Drive retention and expansion: Share renewal and upsell responsibility with AEs; own renewal readiness and spot expansion opportunities
- Improve playbooks: Share field learnings with Product and Sales to reduce deployment friction
You'll work closely with Account Executives on growth and renewals and with Forward Deployed Engineers who run technical rollouts. As one of Runlayer's founding Deployment Strategists, you'll define how the company scales customers and take early accounts through renewal.
REQUIREMENTS:
- 5+ years in customer-facing technical roles (Deployment Strategist, Technical Account Manager, Customer Success Engineer, Solutions Architect, professional services, or technology consulting)
- AI-native: passionate about AI, build and use agents in daily work
- Intellectually curious: dig into how things work, learn new tools fast, treat setbacks as information
- Consulting or operating experience: understand company operations from executive level down, structure ambiguous problems, tie products to business goals
- Proven ownership of multiple enterprise accounts with shared responsibility for renewals and expansion
- Technical depth: explain SSO, SCIM, MCP servers, AI clients, and access policies to engineers; read logs and API responses to triage issues
- Executive presence: run business reviews and enablement sessions with security, IT, and AI leaders up to CISO/CTO level; move between technical detail and executive narrative
- Clear writing: account plans, handoff notes, and tickets engineers can act on without follow-up
BONUS:
- Active GitHub, side projects, or hobby projects built with AI
- Experience at AI or data platform company
- Post-sale experience at security, identity, or developer infrastructure company
- Supported self-hosted products on AWS, Kubernetes, or Terraform
- Built customer health scoring or dashboards in SQL
