Jobs at Escape

Conduct account research to identify and qualify leads; develop and execute outbound campaigns via email, LinkedIn, and phone; craft tailored messaging; collaborate with sales and marketing to refine ICP; share market insights; stay current on cybersecurity and AI trends; represent the company at industry events to drive lead generation.

Lead full-stack development of an AI-native cybersecurity platform: design scalable architecture and GraphQL schemas, optimize PostgreSQL performance, implement low-latency data pipelines, build AI-driven workflows (triage, remediation), own ingestion-to-remediation delivery, and integrate with developer tooling (CI/CD, Git, ticketing). Influence technical direction and mentor the engineering squad.

Lead and grow a small technical Customer Success team, drive adoption and onboarding, manage high-touch onboarding, POCs and complex escalations for strategic accounts, and collaborate with Sales, Product, and Engineering to inform the product roadmap and ensure customer success.

First dedicated Product Marketing Manager responsible for positioning, messaging, and go-to-market for an AI-driven application security product. Lead feature launches, market and competitive research, sales enablement, thought leadership, and build repeatable PMM processes to drive discovery, adoption, and pipeline across US and European markets.

Lead and grow Escape's US sales organization, manage AEs/SE/BDRs, own 50-70% quota in Year 1, expand into new enterprise markets, sell to C-suite and security leaders, create US sales playbook, collaborate with international teams, and ensure smooth handoffs to customer success.

Build and own Escape's frontend SaaS product: design and implement reusable component systems, simplify complex cybersecurity workflows, integrate with GraphQL APIs, evolve the design system, maintain performance and accessibility, and ship polished, production-ready UI features that scale for enterprise customers.

Own post-sales technical relationships: lead onboarding, production deployments, integrations, and automation using Python. Drive adoption, monitor usage, troubleshoot escalations, support renewals/expansions, and feed product/engineering with customer feedback to shape roadmap.