Engineering Manager, Platform

Knock · Remote · New York or Remote ·
Fully remoteFull-timeLead8+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote (US base)
  • Reports to CTO
  • First EM hire
  • Platform & Infra focus
  • Startup environment

Knock is a Series A startup building an API-first platform for product notifications. As the first engineering manager hire, you will lead the platform team responsible for the core services and infrastructure that power the application. You will report directly to the CTO and have significant ownership over the team's roadmap, hiring, and operational standards.

What you'll do

  • Hire and grow the platform team by adding two to four individual contributors
  • Own the team roadmap and balance reliability with feature delivery priorities
  • Coach engineers through one-on-ones and stretch assignments to drive impact
  • Contribute to architecture decisions and write code to unblock critical paths
  • Lead incident response efforts and drive reliability improvements from postmortems
  • Partner with product engineering to define SLAs and manage cross-team dependencies
  • Help shape broader engineering culture and tooling choices alongside leadership

What you'll need

  • At least three years of experience managing platform or infrastructure teams
  • Strong technical foundation capable of making deep architectural contributions
  • Proven track record of hiring, retaining, and developing high-performing engineers
  • Ability to prioritize work effectively without a dedicated product manager partner
  • Experience leading on-call rotations and managing high-availability service operations
  • Strong communication skills for working in a fully distributed, remote-first team
  • Familiarity with AI coding tools such as Cursor, Claude Code, or similar assistants

Stack

  • AWS
  • Stripe
  • Algolia
  • WorkOS
  • Cursor
  • Claude Code

How you'll work

  • Remote-first company with a New York City base
  • High degree of autonomy and accountability for outcomes
  • Collaborative culture using long-form documentation
  • Experimentation with AI tools encouraged in daily workflows