Manager, Support Engineering at Profound - ScoutJobs - The AI-curated global job board
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Posted 10 hours ago

Manager, Support Engineering

ProfoundManager, Support Engineering

Requirements

5+ years technical support experience, 2+ years engineering management, Experience building support functions in high-growth SaaS, Technical depth in debugging integrations, Experience with 24/7 on-call models

Skills

SaaSAI

About the role

About the Company

Profound is the marketing platform for the AI era. Backed by Lightspeed, Sequoia, Kleiner Perkins, and Khosla Ventures at a $1B valuation, we provide brands with the intelligence to see how AI represents them and the Agents to act on it.

Responsibilities

  • Stand up Profound’s Support Engineering function from the ground up, including hiring and onboarding a global team
  • Design and operate a 24/7 follow-the-sun coverage model with clear on-call rotations and paging policies
  • Build end-to-end escalation systems, including severity matrices, SLAs, and customer communication playbooks
  • Own core metrics such as first response time, time to resolution, SLA attainment, and CSAT
  • Partner with Engineering and Product to feed field signals into roadmap priorities and identify recurring defects
  • Collaborate with Customer Success, Sales, and Marketing to define the technical support experience and manage incident communications
  • Build the tooling stack for ticketing, Slack-based support, and AI-assisted triage
  • Serve as the escalation point of last resort for complex customer situations

Requirements

  • 5+ years of experience in technical support, support engineering, or customer engineering
  • 2+ years of direct experience managing and developing engineers
  • Proven track record of building or rebuilding a support engineering function at a high-growth SaaS or AI company
  • Hands-on technical depth in reading logs, reproducing bugs, and debugging integrations (Cloudflare, Vercel, CMSs)
  • Experience designing 24/7 coverage and severity-based escalation systems
  • Strong data-driven leadership skills using SLA dashboards and ticket analytics
  • Excellent written and verbal communication skills for handling executive-level escalations

Preferred Qualifications

  • Experience in AI, developer tools, infrastructure, or marketing technology
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Manager, Support Engineering

Profound · New York

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